Ontological knowledge, which comprises classes and properties and their
...
Chinese geographic re-ranking task aims to find the most relevant addres...
Large-scale text retrieval technology has been widely used in various
pr...
Large language models (LLMs) have shown impressive ability for open-doma...
Recently, instruction-following Large Language Models (LLMs) , represent...
We present GTE, a general-purpose text embedding model trained with
mult...
Entity Linking (EL) is a fundamental task for Information Extraction and...
Consistently scaling pre-trained language models (PLMs) imposes substant...
Recently, various studies have been directed towards exploring dense pas...
With a fast developing pace of geographic applications, automatable and
...
The MultiCoNER 2 shared task aims to tackle multilingual named entity
re...
Zero-shot information extraction (IE) aims to build IE systems from the
...
Open knowledge graph (KG) consists of (subject, relation, object) triple...
As a core task in location-based services (LBS) (e.g., navigation maps),...
Ultra-fine entity typing (UFET) predicts extremely free-formed types (e....
Multi-modal named entity recognition (NER) and relation extraction (RE) ...
Ultra-fine entity typing (UFET) aims to predict a wide range of type phr...
Metric-based meta-learning is one of the de facto standards in few-shot
...
Boundary information is critical for various Chinese language processing...
Pre-trained language model (PTM) has been shown to yield powerful text
r...
Data augmentation techniques have been used to improve the generalizatio...
Multiple pre-training objectives fill the vacancy of the understanding
c...
Speech Entity Linking aims to recognize and disambiguate named entities ...
Successful Machine Learning based Named Entity Recognition models could ...
Deep pre-trained language models (e,g. BERT) are effective at large-scal...
Self-augmentation has received increasing research interest recently to
...
Named entity recognition (NER) is a fundamental task in natural language...
Passage retrieval is a fundamental task in information retrieval (IR)
re...
The MultiCoNER shared task aims at detecting semantically ambiguous and
...
Named Entity Recognition (NER) from speech is among Spoken Language
Unde...
As an effective approach to tune pre-trained language models (PLMs) for
...
Crowdsourcing is regarded as one prospective solution for effective
supe...
Recently, considerable literature has grown up around the theme of few-s...
Recently, a variety of probing tasks are proposed to discover linguistic...
Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
Fully supervised neural approaches have achieved significant progress in...