Word problem Solving is a popular NLP task that deals with solving mathematical problems described in natural language. Mathematical Word Problems cover problems over a large mathematical domain with various complexities ranging from Arithmetic and Algebraic to Geometry and Calculus. While most word problems are entirely textual, some word problems, like geometric word problems, may also have a visual component. Much research has been carried out to solve different genres of word problems with various complex- ity levels in recent years. However, most publicly available datasets and work are in English. Recently there has been a surge in word problem-solving in Chinese with the creation of large benchmark datasets. Labelled benchmark datasets for low-resource languages are very scarce. The first requirement for solving word problems, like any other problem, is data. To the best of our knowledge, no datasets are available for any Indian Languages for Word Problem Solving. Such limitations on data availability not only encouraged us to create a new dataset for an Indian Language but also made us explore techniques by which data for other Indian Languages can be created with ease. In this work, we present a diverse dataset containing 2336 Arithmetic word problems in Hindi built by manually crafting word problems and using word problems augmented from benchmark datasets of other languages. For augmentation, we used translation of word problems (of other languages in which Word Problem Solving data was developed) as a tool to generate diverse word problems. In this process, we studied the translated word problems, gathered the patterns of issues seen in these translations and defined the steps to eliminate the errors and improve the quality of the translated output for it to be suited to be a set of Hindi word problems that look as natural as word problems that are studied across India in Hindi medium schools. We also developed baseline systems for solving these word problems - a rule-based solver that uses verbs to identify operations for generating the answers to word problems and an end-to-end deep learning-based solver that generates equations for word problems. We also propose a new evaluation technique for word problem solvers taking equation equivalence into account. This will form the basis for future work for Word Problem Solving in Indian Languages, especially in Hindi.
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Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi. Verbs are very important for solving word problems with addition/subtraction operations as they help us identify the set of operations required to solve the word problems. We propose a rule-based solver that uses verb categorisation to identify operations in a word problem and generate answers for it. To perform verb categorisation, we explore several approaches and present a comparative study.
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This repository provides HAWP: a dataset for Hindi Word Problem Solving and a baseline (LREC 2022)
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Hindi arithmetic word problems - hawp.
This repository provides HAWP(a first ever diverse dataset for Hindi) for evaluating and developing MWP Solvers for Hindi. It contains 2336 Hindi Math Word Problems (MWPs), and is published in the paper "HAWP: a Dataset for Hindi Arithmetic Word Problem Solving".
The dataset can be found in hawp/dataset/
Name | HAWP |
---|---|
Version | v1.0 |
Resource Type | Corpus |
Language Type | Monolingual |
Language | Hindi |
Size | 2336 MWPs |
Modality | Written |
Annotation | Equation, Relevant Indices, Number Of Operators |
Use | For Automatic Word Problem Solving |
Format | JSON |
Equgener: a reasoning network for word problem solving by generating arithmetic equations, ape210k: a large-scale and template-rich dataset of math word problems, are nlp models really able to solve simple math word problems.
Mathqa: towards interpretable math word problem solving with operation-based formalisms, mawps: a math word problem repository, solving arithmetic word problems automatically using transformer and unambiguous representations, a diverse corpus for evaluating and developing english math word problem solvers, solving general arithmetic word problems, mapping to declarative knowledge for word problem solving, related papers.
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Harshita Sharma, s upervised by Prof. Dipti M Sharma received her Master of Science – Dual Degree in Computational Linguistics (CL). Here’s a summary of her research work on Hindi Word Problem Solving:
Word problem Solving is a popular NLP task that deals with solving mathematical problems described in natural language. Mathematical Word Problems cover problems over a large mathematical domain with various complexities ranging from Arithmetic and Algebraic to Geometry and Calculus. While most word problems are entirely textual, some word problems, like geometric word problems, may also have a visual component. Much research has been carried out to solve different genres of word problems with various complexity levels in recent years. However, most publicly available datasets and work are in English. Recently there has been a surge in word problem-solving in Chinese with the creation of large benchmark datasets. Labelled benchmark datasets for low-resource languages are very scarce. The first requirement for solving word problems, like any other problem, is data. To the best of our knowledge, no datasets are available for any Indian Languages for Word Problem Solving. Such limitations on data availability not only encouraged us to create a new dataset for an Indian Language but also made us explore techniques by which data for other Indian Languages can be created with ease. In this work, we present a diverse dataset containing 2336 Arithmetic word problems in Hindi built by manually crafting word problems and using word problems augmented from benchmark datasets of other languages. For augmentation, we used translation of word problems (of other languages in which Word Problem Solving data was developed) as a tool to generate diverse word problems. In this process, we studied the translated word problems, gathered the patterns of issues seen in these translations and defined the steps to eliminate the errors and improve the quality of the translated output for it to be suited to be a set of Hindi word problems that look as natural as word problems that are studied across India in Hindi medium schools. We also developed baseline systems for solving these word problems – a rule-based solver that uses verbs to identify operations for generating the answers to word problems and an end-to-end deep learning-based solver that generates equations for word problems. We also propose a new evaluation technique for word problem solvers taking equation equivalence into account. This will form the basis for future work for Word Problem Solving in Indian Languages, especially in Hindi.
October 2023
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LREC 2022 · Harshita Sharma , Pruthwik Mishra , Dipti Sharma · Edit social preview
Word Problem Solving remains a challenging and interesting task in NLP. A lot of research has been carried out to solve different genres of word problems with various complexity levels in recent years. However, most of the publicly available datasets and work has been carried out for English. Recently there has been a surge in this area of word problem solving in Chinese with the creation of large benchmark datastes. Apart from these two languages, labeled benchmark datasets for low resource languages are very scarce. This is the first attempt to address this issue for any Indian Language, especially Hindi. In this paper, we present HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi. We also developed baseline systems for solving these word problems. We also propose a new evaluation technique for word problem solvers taking equation equivalence into account.
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Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language . Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi. Verbs are very important for solving word problems with addition/subtraction operations as they help us identify the set of operations required to solve the word problems. We propose a rule-based solver that uses verb categorisation to identify operations in a word problem and generate answers for it. To perform verb categorisation, we explore several approaches and present a comparative study.
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Course: class 6 math (india) - hindi > unit 3, gcf & lcm word problems (hindi).
Video transcript.
Did Vice President Kamala Harris say "a problem is not a problem" as part of a longer quote in a meme circulating on social media? No, that's not true: A spokesperson for the vice president's office answered "no" by email when Lead Stories asked if the quote was real. Lead Stories could find no video or news articles indicating Harris ever said the words in the meme.
The claim resurfaced in a post (archived here ) on Instagram on July 27, 2024. It showed an image of Harris with the following inscription:
THE PROBLEM OF SOLVING A PROBLEM IS NOT A PROBLEM, BUT WHEN A PROBLEM SOLVES A PROBLEM WITHOUT ANY PROBLEM, THEN THE PROBLEM IS NOT AT ALL A PROBLEM.
When asked whether Harris made the comment that is the focus of this fact check, a spokesman for the vice president's office told Lead Stories via email on August 2, 2024, that the answer is "no."
The quote in question started to circulate on social media on January 20, 2024. Such examples can be found on X, formerly known as Twitter (archived here ), and Reddit (archived here ). Those entries did not contain any elaboration about when and where Harris supposedly made the cited remark.
By January 2024, she had already been in the public eye for decades, including the first three years of serving as vice president.
A Google search (archived here ) across U.S. government websites for the fragment of the purported quote did not produce any results. Had Harris made the comment posted on Instagram and elsewhere, it would likely have been reflected in official transcripts.
A search for the same fragment across news publications indexed by Google News (archived here ) did not lead to any credible reporting confirming the quote. It did show that Snopes has reviewed the same claim.
Lead Stories previously debunked other claims that misattributed similar quotes to Harris. For example, she did not say that "Olympians are Olympic ."
Other Lead Stories fact checks mentioning Kamala Harris can be found here . Stories about the 2024 U.S. presidential election are here .
Uliana Malashenko is a New York-based freelance writer and fact checker. Read more about or contact Uliana Malashenko
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As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi. Verbs are very important for solving word problems with addition/subtraction operations as they help us identify the set of operations required to solve the word problems.
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi. Verbs ...
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs.
This is the first attempt to address this issue for any Indian Language, especially Hindi. In this paper, we present HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi. We also developed baseline systems for solving these word problems.
In this paper, we present HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi. We also developed baseline systems for solving these word problems. We also propose a new evaluation technique for word problem solvers taking equation equivalence into account. Harshita Sharma, Pruthwik Mishra, and ...
Verb Categorisation for Hindi Word Problem Solving Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma IIIT-Hyderabad {harshita.sharma, pruthwik.mishra}@research.iiit.ac.in, [email protected] Abstract Word problem Solving is a challenging NLP task that deals with solving mathematical prob-lems described in natural language. Recently,
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have ...
A rule-based solver that uses verb categorisation to identify operations in a word problem and generate answers for it is proposed and a comparative study is presented. Word problem Solving is a challenging NLP task that deals with solving mathematical probglems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages.
In this paper, we present HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi. We also developed baseline systems for solving these word problems. We also propose a new evaluation technique for word problem solvers taking equation equivalence into account. 1.
Hindi Word Problem Solving Author: Harshita Sharma 20171099 Date: 2023-10-12 Report no: IIIT/TH/2023/140 ... Recently there has been a surge in word problem-solving in Chinese with the creation of large benchmark datasets. Labelled benchmark datasets for low-resource languages are very scarce. The first requirement for solving word problems ...
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi.
Figure 1: Example of solving word problem using verbs - "Verb Categorisation for Hindi Word Problem Solving"
pIndex: A unique identifier for a MWP; Problem: The word problem text (includes statements and clues for solving an MWP) and question to be solved based on the word problem text.; Equation: The equation used to solve the MWP; Relevant Indices: List of incides of quantities in the MWP that are relevant to solve the question.Whenever the MWP requires world knowledge or uses implict quantities ...
This paper presents HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi, and proposes a new evaluation technique for word problem solvers taking equation equivalence into account. Word Problem Solving remains a challenging and interesting task in NLP. A lot of research has been carried out to solve different genres of word problems with various ...
Here's a summary of her research work on Hindi Word Problem Solving: Word problem Solving is a popular NLP task that deals with solving mathematical problems described in natural language. Mathematical Word Problems cover problems over a large mathematical domain with various complexities ranging from Arithmetic and Algebraic to Geometry and ...
Problem Solving has been carried out for English. We have attempted to address this issue for any Indian Language, especially Hindi. We have developed HAWP (Hindi Arithmetic Word Problems), a dataset consisting of 2336 arithmetic word problems in Hindi. and baseline systems for solving these word problems. SUMMARY.
Two-step equation word problem: oranges (Hindi) Google Classroom. Microsoft Teams. About. Learn how to solve a word problem by writing an equation to model the situation. In this video, we use the linear equation 210 (t-5) = 41,790. Questions. Tips & Thanks.
A lot of research has been carried out to solve different genres of word problems with various complexity levels in recent years. However, most of the publicly available datasets and work has been carried out for English. Recently there has been a surge in this area of word problem solving in Chinese with the creation of large benchmark datastes.
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have ...
पाईये Word Problems उत्तर और विस्तृत समाधान के साथ MCQ प्रश्न। इन्हें मुफ्त में डाउनलोड करें Word Problems MCQ क्विज़ Pdf और अपनी आगामी परीक्षाओं जैसे बैंकिंग, SSC, रेलवे, UPSC, State PSC ...
Learn for free about math, art, computer programming, economics, physics, chemistry, biology, medicine, finance, history, and more. Khan Academy is a nonprofit with the mission of providing a free, world-class education for anyone, anywhere.
Here we have a couple of word problems--one searching for the least common multiple and the other for the greatest common factor. Just read them with us slowly and follow along. You'll get it. ... Class 6 Math (India) - Hindi . Course: Class 6 Math (India) - Hindi > Unit 3. Lesson 9: Some problems on HCF and LCM. GCF & LCM word problems (Hindi ...
Liked the video? Please support the channel by donatingDonate:- https://imjo.in/hb6MDMEasiest way to solve LPP word problem for every question ,explained in...
THE PROBLEM OF SOLVING A. PROBLEM IS NOT A PROBLEM, BUT WHEN A PROBLEM SOLVES A. PROBLEM WITHOUT ANY PROBLEM, THEN THE PROBLEM IS NOT AT ALL. A PROBLEM. This is what the post looked like at the time of writing: (Source: Instagram screenshot taken on Fri Aug 2 14:56:53 2024 UTC)
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Reminiscent of Milwaukee Bucks head coach Doc Rivers use of Hall of Fame shooting guard Ray Allen in their time with the Boston Celtics, Embiid is often orbiting the 3-point arc, waiting for passes that never come. It can be argued that because Team USA needs to generate ball-movement, passing up the first open look isn't necessarily a problem. . However, the purpose of ball-movement isn't ...