Conversational recommender systems (CRS) generate recommendations throug...
Humans ask follow-up questions driven by curiosity, which reflects a cre...
In sequential recommendation, multi-modal information (e.g., text or ima...
Meeting summarization has emerged as a promising technique for providing...
Video question–answering is a fundamental task in the field of video
und...
A challenge in the Dialogue State Tracking (DST) field is adapting model...
The development of general-domain neural machine translation (NMT) metho...
We present a scholarly corpus from the ACL Anthology to assist Open
scie...
We introduce ECHo, a diagnostic dataset of event causality inference gro...
We endow Large Language Models (LLMs) with fine-grained self-evaluation ...
Personality is a psychological factor that reflects people's preferences...
We propose two methods to make unsupervised domain adaptation (UDA) more...
In this paper, we study the problem of knowledge-intensive text-to-SQL, ...
Existing multimodal tasks mostly target at the complete input modality
s...
Knowledge-grounded dialog systems need to incorporate smooth transitions...
Prerequisites can play a crucial role in users' decision-making yet
reco...
We model product reviews to generate comparative responses consisting of...
Automatic transfer of text between domains has become popular in recent
...
Due to high data demands of current methods, attention to zero-shot
cros...
Numerous visio-linguistic (V+L) representation learning methods have bee...
With a rise in false, inaccurate, and misleading information in propagan...
Recent work finds modern natural language processing (NLP) models relyin...
Neural models for automated fact verification have achieved promising re...
Questions of fairness, robustness, and transparency are paramount to add...
Multiparty Dialogue Machine Reading Comprehension (MRC) differs from
tra...
The collection and annotation of task-oriented conversational data is a
...
Recent question generation (QG) approaches often utilize the
sequence-to...
Obtaining training data for Multi-hop Question Answering (QA) is extreme...
Domain divergence plays a significant role in estimating the performance...
Understanding food recipe requires anticipating the implicit causal effe...
We propose Factual News Graph (FANG), a novel graphical social context
r...
New learning resources are created and minted in Massive Open Online Cou...
Training on only perfect Standard English corpora predisposes pre-traine...
The curse of knowledge can impede communication between experts and laym...
Morphological inflection is a process of word formation where base words...
This paper proposes the problem of Deep Question Generation (DQG), which...
We present the Molweni dataset, a machine reading comprehension (MRC) da...
We introduce SciWING, an open-source software toolkit which provides acc...
Recommender systems are embracing conversational technologies to obtain ...
We propose a language-independent approach for improving statistical mac...
Multiple-Choice Reading Comprehension (MCRC) requires the model to read ...
This overview describes the official results of the CL-SciSumm Shared Ta...
The CL-SciSumm Shared Task is the first medium-scale shared task on
scie...
Due to time constraints, course instructors often need to selectively
pa...
Emerging research in Neural Question Generation (NQG) has started to
int...
In discussions hosted on discussion forums for MOOCs, references to onli...
Citation function and provenance are two cornerstone tasks in citation
a...
This paper contributes improvements on both the effectiveness and effici...
The bipartite graph is a ubiquitous data structure that can model the
re...
We tackle the prediction of instructor intervention in student posts fro...