Search Results for author: Rahul Goel

Found 22 papers, 3 papers with code

Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning

no code implementations14 Apr 2022 Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah

As the top-level intent largely governs the syntax and semantics of a parse, the intent conditioning allows the model to better control beam search and improves the quality and diversity of top-k outputs.

Semantic Parsing

Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments

no code implementations10 Apr 2022 Christopher Hidey, Fei Liu, Rahul Goel

Lastly, we discuss practical trade-offs between such techniques and show that co-distillation provides a sweet spot in terms of jitter reduction for semantic parsing systems with only a modest increase in resource usage.

Semantic Parsing

TableFormer: Robust Transformer Modeling for Table-Text Encoding

1 code implementation ACL 2022 Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.

Natural Language Understanding

Misinformation Detection on YouTube Using Video Captions

1 code implementation2 Jul 2021 Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, Clint P. George

Using caption dataset, the proposed models can classify videos among three classes (Misinformation, Debunking Misinformation, and Neutral) with 0. 85 to 0. 90 F1-score.

Misinformation

COVID-19 and the stock market: evidence from Twitter

no code implementations13 Nov 2020 Rahul Goel, Lucas Javier Ford, Maksym Obrizan, Rajesh Sharma

COVID-19 has had a much larger impact on the financial markets compared to previous epidemics because the news information is transferred over the social networks at a speed of light.

Linear Predictive Coding for Acute Stress Prediction from Computer Mouse Movements

no code implementations26 Oct 2020 Lawrence H. Kim, Rahul Goel, Jia Liang, Mert Pilanci, Pablo E. Paredes

This work demonstrates that the damping frequency and damping ratio from LPC are significantly correlated with those from an MSD model, thus confirming the validity of using LPC to infer muscle stiffness and damping.

Update Frequently, Update Fast: Retraining Semantic Parsing Systems in a Fraction of Time

no code implementations15 Oct 2020 Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah

To reduce training time, one can fine-tune the previously trained model on each patch, but naive fine-tuning exhibits catastrophic forgetting - degradation of the model performance on the data not represented in the data patch.

Continual Learning Goal-Oriented Dialogue Systems +1

Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues

no code implementations5 Jul 2019 Shachi Paul, Rahul Goel, Dilek Hakkani-Tür

In unsupervised learning experiments we achieve an F1 score of 54. 1% on system turns in human-human dialogues.

Task-Oriented Dialogue Systems

HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking

no code implementations1 Jul 2019 Rahul Goel, Shachi Paul, Dilek Hakkani-Tür

In this work, we analyze the performance of these two alternative dialogue state tracking methods, and present a hybrid approach (HyST) which learns the appropriate method for each slot type.

Dialogue State Tracking Multi-domain Dialogue State Tracking

Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

no code implementations WS 2019 Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tur

Having explicit feedback on the relevance and interestingness of a system response at each turn can be a useful signal for mitigating such issues and improving system quality by selecting responses from different approaches.

Chatbot Open-Domain Dialog +1

Practical Semantic Parsing for Spoken Language Understanding

no code implementations NAACL 2019 Marco Damonte, Rahul Goel, Tagyoung Chung

Executable semantic parsing is the task of converting natural language utterances into logical forms that can be directly used as queries to get a response.

Multi-Task Learning Question Answering +2

Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems

no code implementations30 Nov 2018 Rahul Goel, Shachi Paul, Tagyoung Chung, Jeremie Lecomte, Arindam Mandal, Dilek Hakkani-Tur

This limits such systems in two different ways: If there is an update in the task domain, the dialogue system usually needs to be updated or completely re-trained.

Dialogue State Tracking Goal-Oriented Dialogue Systems +1

Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision

no code implementations30 Nov 2018 Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal

We train models using publicly available annotated datasets as well as using the proposed large-scale semi-supervised datasets.

Chatbot

Online Embedding Compression for Text Classification using Low Rank Matrix Factorization

no code implementations1 Nov 2018 Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon

Empirically, we show that the proposed method can achieve 90% compression with minimal impact in accuracy for sentence classification tasks, and outperforms alternative methods like fixed-point quantization or offline word embedding compression.

General Classification Natural Language Processing +2

Parsing Coordination for Spoken Language Understanding

no code implementations26 Oct 2018 Sanchit Agarwal, Rahul Goel, Tagyoung Chung, Abhishek Sethi, Arindam Mandal, Spyros Matsoukas

Typical spoken language understanding systems provide narrow semantic parses using a domain-specific ontology.

Spoken Language Understanding

Contextual Topic Modeling For Dialog Systems

no code implementations18 Oct 2018 Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Angeliki Metanillou, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal

On annotated data, we show that incorporating context and dialog acts leads to relative gains in topic classification accuracy by 35% and on unsupervised keyword detection recall by 11% for conversational interactions where topics frequently span multiple utterances.

Chatbot Classification +3

On Evaluating and Comparing Open Domain Dialog Systems

no code implementations11 Jan 2018 Anu Venkatesh, Chandra Khatri, Ashwin Ram, Fenfei Guo, Raefer Gabriel, Ashish Nagar, Rohit Prasad, Ming Cheng, Behnam Hedayatnia, Angeliki Metallinou, Rahul Goel, Shaohua Yang, Anirudh Raju

In this paper, we propose a comprehensive evaluation strategy with multiple metrics designed to reduce subjectivity by selecting metrics which correlate well with human judgement.

Goal-Oriented Dialogue Systems Open-Domain Dialog

The Social Dynamics of Language Change in Online Networks

no code implementations7 Sep 2016 Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna Wallach, Fernando Diaz, Jacob Eisenstein

Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence.

Cannot find the paper you are looking for? You can Submit a new open access paper.