research
∙
06/27/2023
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
Existing reference-free turn-level evaluation metrics for chatbots inade...
share
research
∙
06/14/2023
User Simulation for Evaluating Information Access Systems
Information access systems, such as search engines, recommender systems,...
research
∙
05/25/2023
Measuring the Effect of Influential Messages on Varying Personas
Predicting how a user responds to news events enables important applicat...
research
∙
04/06/2023
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training
The success of contextual word representations and advances in neural in...
research
∙
04/05/2023
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency
Sequence-to-sequence language models can be used to produce abstractive ...
research
∙
03/31/2023
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval
Vector-based retrieval systems have become a common staple for academic ...
research
∙
03/31/2023
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
In this paper, we consider the problem of improving the inference latenc...
research
∙
03/30/2023
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
In this paper, we introduce the range of oBERTa language models, an easy...
research
∙
03/01/2023
Competence-Based Analysis of Language Models
Despite the recent success of large pretrained language models (LMs) on ...
research
∙
02/11/2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
Mathematical reasoning is one of the crucial abilities of general artifi...
research
∙
12/05/2022
Entity Set Co-Expansion in StackOverflow
Given a few seed entities of a certain type (e.g., Software or Programmi...
research
∙
11/15/2022
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
Open Information Extraction (OpenIE) has been used in the pipelines of v...
research
∙
10/23/2022
Language Model Pre-Training with Sparse Latent Typing
Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...
research
∙
10/09/2022
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
We propose a novel application of prompting Pre-trained Language Models ...
research
∙
09/05/2022
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
Fact-checking has gained increasing attention due to the widespread of f...
research
∙
08/31/2022
Incorporating Task-specific Concept Knowledge into Script Learning
In this paper, we present Tetris, a new task of Goal-Oriented Script Com...
research
∙
05/25/2022
Sparse*BERT: Sparse Models are Robust
Large Language Models have become the core architecture upon which most ...
research
∙
03/19/2022
Domain Representative Keywords Selection: A Probabilistic Approach
We propose a probabilistic approach to select a subset of a target domai...
research
∙
02/27/2022
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
Entity linking (EL) is the task of linking entity mentions in a document...
research
∙
09/06/2021
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
Biomedical entity linking is the task of linking entity mentions in a bi...
research
∙
08/29/2021
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation
Automated knowledge discovery from trending chemical literature is essen...
research
∙
05/27/2021
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
Compared to the general news domain, information extraction (IE) from bi...
research
∙
05/13/2021
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
The recent growth of web video sharing platforms has increased the deman...
research
∙
11/05/2020
Towards Dark Jargon Interpretation in Underground Forums
Dark jargons are benign-looking words that have hidden, sinister meaning...
research
∙
10/21/2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities
Automated machine learning (AutoML) is essentially automating the proces...
research
∙
10/17/2020
Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation
Given the wide spread of inaccurate medical advice related to the 2019 c...
research
∙
10/06/2020
Multi-task Learning for Multilingual Neural Machine Translation
While monolingual data has been shown to be useful in improving bilingua...
research
∙
02/20/2020
Towards a Soft Faceted Browsing Scheme for Information Access
Faceted browsing is a commonly supported feature of user interfaces for ...
research
∙
12/04/2019
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach
Knowledge-graph-based reasoning has drawn a lot of attention due to its ...
research
∙
11/22/2019
Improving N-gram Language Models with Pre-trained Deep Transformer
Although n-gram language models (LMs) have been outperformed by the stat...
research
∙
11/11/2019
Learning to Order Sub-questions for Complex Question Answering
Answering complex questions involving multiple entities and relations is...
research
∙
04/12/2019
Adapting Sequence to Sequence models for Text Normalization in Social Media
Social media offer an abundant source of valuable raw data, however info...
research
∙
03/01/2019
JIM: Joint Influence Modeling for Collective Search Behavior
Previous work has shown that popular trending events are important exter...
research
∙
03/01/2019
On Application of Learning to Rank for E-Commerce Search
E-Commerce (E-Com) search is an emerging important new application of in...
research
∙
02/22/2019
Non-Autoregressive Machine Translation with Auxiliary Regularization
As a new neural machine translation approach, Non-Autoregressive machine...
research
∙
05/15/2018
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Assessing relevance between a query and a document is challenging in ad-...
research
∙
04/19/2018
Identifying Compromised Accounts on Social Media Using Statistical Text Analysis
Compromised social media accounts are legitimate user accounts that have...
research
∙
10/31/2016