Towards sufficient music searching, it is vital to form a complete set o...
Conversational recommendation systems (CRS) effectively address informat...
The machine reading comprehension (MRC) of user manuals has huge potenti...
Proactive dialogue systems, related to a wide range of real-world
conver...
Fine-grained information on translation errors is helpful for the transl...
Learning hyperbolic embeddings for knowledge graph (KG) has gained incre...
Incorporating large-scale pre-trained models with the prototypical neura...
In this paper, we present our submission to the sentence-level MQM bench...
In this report, we present our submission to the WMT 2022 Metrics Shared...
To facilitate conversational question answering (CQA) over hybrid contex...
We study automatic Contract Clause Extraction (CCE) by modeling implicit...
Product description generation is a challenging and under-explored task....
Document Visual Question Answering (VQA) aims to understand visually-ric...
Key Information Extraction (KIE) is aimed at extracting structured
infor...
Attribute-based Controlled Text Generation (CTG) refers to generating
se...
Recent years witnessed several advances in developing multi-goal
convers...
Proactive dialogue system is able to lead the conversation to a goal top...
Recommender systems are usually developed and evaluated on the historica...
Collecting dialogue state labels, slots and values, for learning dialogu...
Knowledge graph completion (KGC) has become a focus of attention across ...
Hybrid data combining both tabular and textual content (e.g., financial
...
Recommender systems exploit interaction history to estimate user prefere...
Open-domain Question Answering (OpenQA) is an important task in Natural
...
Developing link prediction models to automatically complete knowledge gr...
Definitive embeddings remain a fundamental challenge of computational
mu...
Knowledge graphs are essential for numerous downstream natural language
...
Traditional recommendation systems estimate user preference on items fro...
Tracking dialogue states to better interpret user goals and feed downstr...
Static recommendation methods like collaborative filtering suffer from t...
We present the Molweni dataset, a machine reading comprehension (MRC) da...
Recommender systems are embracing conversational technologies to obtain ...
Emerging research in Neural Question Generation (NQG) has started to
int...
The task of dialogue generation aims to automatically provide responses ...