NLP Model

May 23, 2023

WYWEB: A NLP Evaluation Benchmark For Classical Chinese
Bo Zhou, Qianglong Chen, Tianyu Wang, Xiaomi Zhong, Yin Zhang
Language Understanding NLP Task Chinese Character NLP Model NLP Community Natural Language Processing Benchmark
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Jiuding Sun, Yuxiang Chen, Lei Hou, Juanzi Li, Bin Xu
Language Model NLP Model Robustness Evaluation Open Information Extraction Information Extraction Task

May 20, 2023

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral
Language Model Large Corpus Context Information Commonsense Knowledge NLP Model Modeling Assumption Language Understanding Task Explanation Faithfulness

May 18, 2023

Multilingual Event Extraction from Historical Newspaper Adverts
Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein
NLP Model Event Extraction Historical Text Multilingual Event Historical Newspaper Historical Language

May 15, 2023

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models
Julia Rozanova, Marco Valentino, Andre Freitas
Causal Effect NLP Model Causal Analysis NLI Model Natural Logic Natural Language Reasoning Problem

May 14, 2023

STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
Yulun Du, Lydia Chilton
Data Set Faithful Generation Instruction Tuning NLP Model Narrative Task

May 11, 2023

April 28, 2023

SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
Elisa Leonardelli, Alexandra Uma, Gavin Abercrombie, Dina Almanea, Valerio Basile, Tommaso Fornaciari, Barbara Plank, Verena Rieser, Massimo Poesio
Natural Language SemEval 2022 Task NLP Model NLP Community Opinion Disagreement

April 18, 2023

Comparative study on Judgment Text Classification for Transformer Based Models
Stanley Kingston, Prassanth, Shrinivas A, Balamurugan MS, Manoj Kumar Rajagopal
Comparative Study Self Attention Text Classification NLP Model Legal Judgment

March 13, 2023

Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Adversarial Attack Adversarial Training Adversarial Robustness Prompt Tuning NLP Model

March 6, 2023

IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models
Edoardo Mosca, Daryna Dementieva, Tohid Ebrahim Ajdari, Maximilian Kummeth, Kirill Gringauz, Yutong Zhou, Georg Groh
Inherent Interpretability Real Human NLP Model Model Explanation

February 28, 2023

Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
Language Model Large Corpus NLP Model Distributional Assumption Language Specific Goal Discovery

February 21, 2023

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
Natural Language Processing Deep Convolutional Neural Network NLP Field Digital Pathology NLP Model Pathology Image Pathology Workflow

February 3, 2023

Improving Interpretability via Explicit Word Interaction Graph Layer
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Natural Language Inherent Interpretability NLP Model Word Usage Graph Natural Language Processing Classifier

January 30, 2023

Evaluating Neuron Interpretation Methods of NLP Models
Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad
NLP Model Neuron Level Many Neuron

January 24, 2023

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
NLP Model Communication Compression Optimus Gen

January 11, 2023

The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
Richard Brath, Daniel Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt
Raw Data Line by Line Explanation Scientific Inference NLP Model Interactive Visualization Modern Language Model NLP Pipeline

December 20, 2022

Evaluation for Change
Rishi Bommasani
Global Evaluation NLP Field NLP Model Pre Change Information Pluralistic Alignment

December 19, 2022

Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature
Daniel N. Sosa, Malavika Suresh, Christopher Potts, Russ B. Altman
Covid 19 NLP Model BioMedical Literature NLI Model Natural Language Inference Task NLI Datasets

Papers

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?

Multilingual Event Extraction from Historical Newspaper Adverts

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models

STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation

Domain Incremental Lifelong Learning in an Open World

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications

SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)

Comparative study on Judgment Text Classification for Transformer Based Models

Model-tuning Via Prompts Makes NLP Models Adversarially Robust

IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models

Goal Driven Discovery of Distributional Differences via Language Descriptions

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines

Improving Interpretability via Explicit Word Interaction Graph Layer

Evaluating Neuron Interpretation Methods of NLP Models

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression

The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference

Evaluation for Change

Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature