We employ a tool-interacting divide-and-conquer strategy enabling large
...
We present MatSci-NLP, a natural language benchmark for evaluating the
p...
We present : a question generation framework
with controllable comprehen...
Providing Emotional Support (ES) to soothe people in emotional distress ...
Deploying deep neural networks on low-resource edge devices is challengi...
Math Word Problems (MWP) is an important task that requires the ability ...
Systematicity, i.e., the ability to recombine known parts and rules to f...
Existing metrics for assessing question generation not only require cost...
Taxonomies have been widely used in various domains to underpin numerous...
Knowledge-based visual question answering requires the ability of associ...
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
Recognition of multifrequency microwave (MW) electric fields is challeng...
Interpreting the predictions of existing Question Answering (QA) models ...
The progress made in code modeling has been tremendous in recent years t...
Although conceptualization has been widely studied in semantics and know...
Recent years have witnessed the dramatic growth of paper volumes with pl...
Existing unsupervised document hashing methods are mostly established on...
Shift neural networks reduce computation complexity by removing expensiv...
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...
Automatic microblog hashtag generation can help us better and faster
und...
Keyword spotting aims to identify specific keyword audio utterances. In
...
Neural abstractive summarization methods often require large quantities ...
With the need of fast retrieval speed and small memory footprint, docume...
This paper explores the task of Difficulty-Controllable Question Generat...
For task-oriented dialog systems, training a Reinforcement Learning (RL)...
Taxonomy is a hierarchically structured knowledge graph that plays a cru...
Query-based document summarization aims to extract or generate a summary...
Understanding what online users may pay attention to is key to content
r...
The ability to ask questions is important in both human and machine
inte...
Concepts embody the knowledge of the world and facilitate the cognitive
...
A large number of deep learning models have been proposed for the text
m...
Automatic question generation is an important technique that can improve...
Online real-estate information systems such as Zillow and Trulia have ga...
In this paper, we study a new type of spatial sparse recovery problem, t...
We describe our experience of implementing a news content organization s...
Semantic matching of natural language sentences or identifying the
relat...
Identifying the relationship between two text objects is a core research...