Search Results for author:
Found 14 papers, 7 papers with code
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
In recent years, Pre-trained Language Models (PLMs) have shown their superiority by pre-training on unstructured text corpus and then fine-tuning on downstream tasks.
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
We propose a two-stage Collective Relation Integration (CoRI) model, where the first stage independently makes candidate predictions, and the second stage employs a collective model that accesses all candidate predictions to make globally coherent predictions.
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models
We also demonstrate that distributional methods are ideal to make up for pattern-based ones in such cases.
Hypernymy Detection for Low-Resource Languages via Meta Learning
Hypernymy detection, a. k. a, lexical entailment, is a fundamental sub-task of many natural language understanding tasks.
CASE: Context-Aware Semantic Expansion
In this study, we demonstrate that annotations for this task can be harvested at scale from existing corpora, in a fully automatic manner.
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Conditional Text Generation has drawn much attention as a topic of Natural Language Generation (NLG) which provides the possibility for humans to control the properties of generated contents.
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Identifying the named entities mentioned in text would enrich many semantic applications at the downstream level.
Chinese Named Entity Recognition
named-entity-recognition
+2
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Recent efforts on this issue suggest training a neighborhood aggregator in conjunction with the conventional entity and relation embeddings, which may help embed new entities inductively via their existing neighbors.
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check
Chinese spelling check (CSC) is a challenging yet meaningful task, which not only serves as a preprocessing in many natural language processing(NLP) applications, but also facilitates reading and understanding of running texts in peoples{'} daily lives.
Domain Adaptation for Disease Phrase Matching with Adversarial Networks
With the development of medical information management, numerous medical data are being classified, indexed, and searched in various systems.
hyperdoc2vec: Distributed Representations of Hypertext Documents
Hypertext documents, such as web pages and academic papers, are of great importance in delivering information in our daily life.
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
For the first time, we show that the semantic relationships between the mentioned entities are in fact less dense than expected.
Sentiment Analysis by Capsules
Based on capsule representation, the probability module computes the capsule’s state probability.
Ranked #6 on
Sentiment Analysis
on MR
A Survey of Location Prediction on Twitter
Specifically, we concentrate on the prediction of user home locations, tweet locations, and mentioned locations.
