AMEX AI-Labs: An Investigative Study on Extractive Summarization of Financial Documents

no code implementations • FNP (COLING) 2020 • Piyush Arora, Priya Radhakrishnan

We describe the work carried out by AMEX AI-LABS on an extractive summarization benchmark task focused on Financial Narratives Summarization (FNS).

Document Summarization Extractive Summarization

AMEX AI Labs at SemEval-2022 Task 10: Contextualized fine-tuning of BERT for Structured Sentiment Analysis

no code implementations • SemEval (NAACL) 2022 • Pratyush Sarangi, Shamika Ganesan, Piyush Arora, Salil Joshi

We describe the work carried out by AMEX AI Labs on the structured sentiment analysis task at SemEval-2022.

Sentiment Analysis

Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting

no code implementations • 13 Dec 2023 • Piyush Arora, Pratik Mazumder

In this paper, we focus on a more practical setting with no prior information about the bias.

Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset

no code implementations • 24 Nov 2023 • Usneek Singh, Piyush Arora, Shamika Ganesan, Mohit Kumar, Siddhant Kulkarni, Salil R. Joshi

We perform a comparative analysis of transformer-based models designed for modeling tabular data, specifically on an industry-scale dataset.

An Investigative Study of Multi-Modal Cross-Lingual Retrieval

no code implementations • LREC 2020 • Piyush Arora, Dimitar Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth Jones

In this paper we devote special attention to the automatic translation (AT) component which is crucial for the overall quality of the MMCLIR system.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity

no code implementations • SEMEVAL 2016 • Chris Hokamp, Piyush Arora

Machine Translation Semantic Textual Similarity +1

DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2

no code implementations • SEMEVAL 2015 • Piyush Arora, Chris Hokamp, Jennifer Foster, Gareth Jones

Domain Adaptation Semantic Textual Similarity +2

DCU: Aspect-based Polarity Classification for SemEval Task 4

no code implementations • SEMEVAL 2014 • Joachim Wagner, Piyush Arora, Santiago Cortes, Utsab Barman, Dasha Bogdanova, Jennifer Foster, Lamia Tounsi

Aspect-Based Sentiment Analysis (ABSA) Classification +1

DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task

no code implementations • WS 2014 • Xiaofeng Wu, Rejwanul Haque, Tsuyoshi Okita, Piyush Arora, Andy Way, Qun Liu

Language Modelling Machine Translation +2

Entity Centric Opinion Mining from Blogs

no code implementations • WS 2012 • Akshat Bakliwal, Piyush Arora, Vasudeva Varma

Opinion Mining Sentiment Analysis

Mining Sentiments from Tweets

no code implementations • WS 2012 • Akshat Bakliwal, Piyush Arora, Senthil Madhappan, Nikhil Kapre, Mukesh Singh, Vasudeva Varma

Sentiment Analysis

Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification

no code implementations • LREC 2012 • Akshat Bakliwal, Piyush Arora, Vasudeva Varma

With recent developments in web technologies, percentage web content in Hindi is growing up at a lighting speed.

General Classification Sentiment Analysis