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Found 19 papers, 9 papers with code
Cree Corpus: A Collection of nêhiyawêwin Resources
Plains Cree (nêhiyawêwin) is an Indigenous language that is spoken in Canada and the USA.
Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM
Symbolic sentence meaning representations, such as AMR (Abstract Meaning Representation) provide expressive and structured semantic graphs that act as intermediates that simplify downstream NLP tasks.
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
Open-domain question answering (Open-QA) is a common task for evaluating large language models (LLMs).
Natural Language Inference
Open-Domain Question Answering
+1
Relational Extraction on Wikipedia Tables using Convolutional and Memory Networks
Relation extraction (RE) is the task of extracting relations between entities in text.
NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools
NLP Workbench is a web-based platform for text mining that allows non-expert users to obtain semantic understanding of large-scale corpora using state-of-the-art text mining models.
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
In this study, we question the quality of these KGs, where the typing error rate is estimated to be 27% for coarse-grained types on average, and even 73% for certain fine-grained types.
An Annotated Corpus of Webtables for Information Extraction Tasks
Information Extraction is a well-researched area of Natural Language Processing with applications in web search and question answering concerned with identifying entities and relationships between them as expressed in a given context, usually a sentence of a paragraph of running text.
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources.
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web.
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
Knowledge Bases (KBs) require constant up-dating to reflect changes to the world they represent.
Ranked #3 on
Relation Extraction
on NYT Corpus
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
The task of Fine-grained Entity Type Classification (FETC) consists of assigning types from a hierarchy to entity mentions in text.
Investigations on Knowledge Base Embedding for Relation Prediction and Extraction
We report an evaluation of the effectiveness of the existing knowledge base embedding models for relation prediction and for relation extraction on a wide range of benchmarks.
Extracting Family Relationship Networks from Novels
We present an approach to the extraction of family relations from literary narrative, which incorporates a technique for utterance attribution proposed recently by Elson and McKeown (2010).
Improving Open Relation Extraction via Sentence Re-Structuring
Information Extraction is an important task in Natural Language Processing, consisting of finding a structured representation for the information expressed in natural language text.
