Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …

摘要词义相似度计算在很多领域中都有广泛的应用, 例如信息检索, 信息抽取, 文本分类,
词义排歧, 基于实例的机器翻译等等. 词义相似度计算的两种基本方法是基于世界知识(Ontology …

Opinion mining is an interesting area of research because of its applications in various
fields. Collecting opinions of people about products and about social and political events …

The representational basis for downstream natural language processing tasks is word
embeddings, which capture lexical semantics in numerical form to handle the abstract …

Abstract Open Information Extraction (IE) systems extract relational tuples from text, without
requiring a pre-specified vocabulary, by identifying relation phrases and associated …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Computing semantic relatedness of natural language texts requires access to vast amounts
of common-sense and domain-specific world knowledge. We propose Explicit Semantic …

The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

Using an open-source, Java toolkit of name-matching methods, we experimentally compare
string distance metrics on the task of matching entity names. We investigate a number of …

The quantification of lexical semantic relatedness has many applications in NLP, and many
different measures have been proposed. We evaluate five of these measures, all of which …