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Found 12 papers, 3 papers with code
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Event extraction is of practical utility in natural language processing.
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
In this paper, we propose to study the problem of COURT VIEW GENeration from the fact description in a criminal case.
Jointly Extracting Relations with Class Ties via Effective Deep Ranking
Exploiting class ties between relations of one entity tuple will be promising for distantly supervised relation extraction.
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification
We experimented on this task with two methods: CNN method and traditional pipeline method.
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention
This paper describes a classification system that participated in the SemEval-2018 Task 12: The Argument Reasoning Comprehension Task.
Real-time Scholarly Retweeting Prediction System
At last, we combine scholarly features with the Tweet Scholar Blocks to predict whether a scholarly tweet will be retweeted.
CRST: a Claim Retrieval System in Twitter
For controversial topics, collecting argumentation-containing tweets which tend to be more convincing will help researchers analyze public opinions.
Interpretable Rationale Augmented Charge Prediction System
This paper proposes a neural based system to solve the essential interpretability problem existing in text classification, especially in charge prediction task.
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
Furthermore, to deal with the problem of class imbalance in distant supervision relation extraction, we further adopt cost-sensitive learning to rescale the costs from the positive and negative labels.
A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature
We introduce a new task of modeling the role and function for on-line resource citations in scientific literature.
Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description
In this paper, we study the problem of identifying the principals and accessories from the fact description with multiple defendants in a criminal case.
