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08/22/2023
Efficient Benchmarking (of Language Models)
The increasing versatility of language models LMs has given rise to a ne...
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05/24/2023
Active Learning for Natural Language Generation
The field of text generation suffers from a severe shortage of labeled d...
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05/02/2023
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
Applying language models to natural language processing tasks typically ...
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02/09/2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Research on neural networks has largely focused on understanding a singl...
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12/20/2022
SimpleStyle: An Adaptable Style Transfer Approach
Attribute-controlled text rewriting, also known as text style-transfer, ...
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12/02/2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Pretraining has been shown to scale well with compute, data size and dat...
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11/08/2022
nBIIG: A Neural BI Insights Generation System for Table Reporting
We present nBIIG, a neural Business Intelligence (BI) Insights Generatio...
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10/31/2022
Where to start? Analyzing the potential value of intermediate models
Previous studies observed that finetuned models may be better base model...
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10/31/2022
Zero-Shot Text Classification with Self-Training
Recent advances in large pretrained language models have increased atten...
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08/31/2022
Efficient Methods for Natural Language Processing: A Survey
Getting the most out of limited resources allows advances in natural lan...
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08/02/2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
Text classification can be useful in many real-world scenarios, saving a...
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05/24/2022
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines
Public trust in medical information is crucial for successful applicatio...
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05/24/2022
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
The COVID-19 pandemic has made a huge global impact and cost millions of...
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05/22/2022
Diversity Enhanced Table-to-Text Generation via Type Control
Generating natural language statements to convey information from tabula...
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05/08/2022
Multi-Domain Targeted Sentiment Analysis
Targeted Sentiment Analysis (TSA) is a central task for generating insig...
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04/06/2022
Fusing finetuned models for better pretraining
Pretrained models are the standard starting point for training. This app...
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03/29/2022
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization
Many organizations require their customer-care agents to manually summar...
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03/21/2022
Quality Controlled Paraphrase Generation
Paraphrase generation has been widely used in various downstream tasks. ...
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03/20/2022
Cluster Tune: Boost Cold Start Performance in Text Classification
In real-world scenarios, a text classification task often begins with a ...
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01/06/2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
In recent years, pretrained language models have revolutionized the NLP ...
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10/20/2021
Overview of the 2021 Key Point Analysis Shared Task
We describe the 2021 Key Point Analysis (KPA-2021) shared task on key po...
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10/03/2021
Project Debater APIs: Decomposing the AI Grand Challenge
Project Debater was revealed in 2019 as the first AI system that can deb...
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06/12/2021
Every Bite Is an Experience: Key Point Analysis of Business Reviews
Previous work on review summarization focused on measuring the sentiment...
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12/29/2020
YASO: A New Benchmark for Targeted Sentiment Analysis
Sentiment analysis research has shifted over the years from the analysis...
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10/19/2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Approaching new data can be quite deterrent; you do not know how your ca...
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10/13/2020
Multilingual Argument Mining: Datasets and Analysis
The growing interest in argument mining and computational argumentation ...
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10/13/2020
The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation
Argument generation is a challenging task whose research is timely consi...
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10/11/2020
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
When summarizing a collection of views, arguments or opinions on some to...
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09/17/2020
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
One of the most impressive human endeavors of the past two decades is th...
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05/04/2020
From Arguments to Key Points: Towards Automatic Argument Summarization
Generating a concise summary from a large collection of arguments on a g...
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05/03/2020
Out of the Echo Chamber: Detecting Countering Debate Speeches
An educated and informed consumption of media content has become a chall...
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11/26/2019
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
Identifying the quality of free-text arguments has become an important t...
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11/25/2019
Corpus Wide Argument Mining – a Working Solution
One of the main tasks in argument mining is the retrieval of argumentati...
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09/03/2019
Automatic Argument Quality Assessment -- New Datasets and Methods
We explore the task of automatic assessment of argument quality. To that...
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09/01/2019
A Dataset of General-Purpose Rebuttal
In Natural Language Understanding, the task of response generation is us...
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08/22/2019
Argument Invention from First Principles
Competitive debaters often find themselves facing a challenging task -- ...
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08/20/2019
Controversy in Context
With the growing interest in social applications of Natural Language Pro...
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08/19/2019
Fast End-to-End Wikification
Wikification of large corpora is beneficial for various NLP applications...
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07/27/2019
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining
Engaging in a live debate requires, among other things, the ability to e...
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07/21/2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
With the advancement in argument detection, we suggest to pay more atten...
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06/10/2019
Learning to combine Grammatical Error Corrections
The field of Grammatical Error Correction (GEC) has produced various sys...
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04/01/2019
Syntactic Interchangeability in Word Embedding Models
Nearest neighbors in word embedding models are commonly observed to be s...
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09/05/2018
Learning Concept Abstractness Using Weak Supervision
We introduce a weakly supervised approach for inferring the property of ...
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01/23/2018
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
We describe a large, high-quality benchmark for the evaluation of Mentio...
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09/19/2017
A Recorded Debating Dataset
This paper describes an audio and textual dataset of debating speeches, ...
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01/10/2013
Multivariate Information Bottleneck
The Information bottleneck method is an unsupervised non-parametric data...
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02/03/2005