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Found 23 papers, 5 papers with code
HAWP: a Dataset for Hindi Arithmetic Word Problem Solving
Recently there has been a surge in this area of word problem solving in Chinese with the creation of large benchmark datastes.
Dataset for Aspect Detection on Mobile reviews in Hindi
In this paper we identify all aspects related to the gadget which are present on the reviews given online on various websites.
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
Specifically, we leverage the intuition of large language models about future changes to update real number time series predictions.
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
We present a human annotated named entity corpora of 40K sentences for 4 Indian languages from two of the major Indian language families.
Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages
We constructed a translation evaluation task where we performed zero-shot learning, in-context example-driven learning, and fine-tuning of large language models to provide a score out of 100, where 100 represents a perfect translation and 1 represents a poor translation.
Automatic Data Retrieval for Cross Lingual Summarization
We analyze the data and propose methods to match articles to video descriptions that serve as document and summary pairs.
Verb Categorisation for Hindi Word Problem Solving
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.
Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
Generic text summarization approaches often fail to address the specific intent and needs of individual users.
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation into the target language, chunking of text using target language rhythm, text-to-speech synthesis followed by isochronous lipsyncing to the original video.
Building Odia Shallow Parser
Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more.
Linguistically Informed Hindi-English Neural Machine Translation
Hindi-English Machine Translation is a challenging problem, owing to multiple factors including the morphological complexity and relatively free word order of Hindi, in addition to the lack of sufficient parallel training data.
Annotated Corpus for Sentiment Analysis in Odia Language
Given the lack of an annotated corpus of non-traditional Odia literature which serves as the standard when it comes sentiment analysis, we have created an annotated corpus of Odia sentences and made it publicly available to promote research in the field.
Arabic Dialect Identification for Travel and Twitter Text
This paper presents the results of the experiments done as a part of MADAR Shared Task in WANLP 2019 on Arabic Fine-Grained Dialect Identification.
Arithmetic Word Problem Solver using Frame Identification
The frame identification is dependent on the verb in a sentence.
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models
POS Tagging serves as a preliminary task for many NLP applications.
Ranked #1 on
POS
on Kannada Treebank
Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches
For this, we submitted four models for sentiment analysis of code-mixed HI-EN and BN-EN datasets.
IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification
In this paper, we describe our approaches and results for modeling the ranking of reviews based on their usefulness score, this being the first of the three subtasks under this shared task.
IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches
In this paper, we describe our approach to this problem and the results on four languages, i. e. English, French, Japanese and Spanish.
Deep Neural Network based system for solving Arithmetic Word problems
The worldstate and the query are processed separately in two different networks and finally, the networks are merged to predict the final operation.
