LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts

Geographic information extraction using natural language processing in Wikipedia texts

Geographic information extracted from texts is a valuable source of location data about documents, which can be used to improve information retrieval and document indexing. Linked Data and digital gazetteers provide a large amount of data that can support the recognition of places mentioned in text. Natural Language Processing techniques, which have evolved significantly over the last years, of...

Natural language processing methods for extracting information from mathematical texts

creating appropriate corpus for information retrieval and natural language processing in persian language

persian natural language processing (nlp) researchers have many limitations to access linguistic tools which are suitable for text processing. therefore, researchin persian text processing is very limited. since dataset is an important requirement for experiments and their evaluation, we aimed to create appropriate corpora for information retrieval and natural language processing in persian. th...

CATENA: CAusal and TEmporal relation extraction from NAtural language texts

We present CATENA, a sieve-based system to perform temporal and causal relation extraction and classification from English texts, exploiting the interaction between the temporal and the causal model. We evaluate the performance of each sieve, showing that the rule-based, the machinelearned and the reasoning components all contribute to achieving state-of-the-art performance on TempEval-3 and Ti...

FASTUS: Extracting Information from Natural- Language Texts

FASTUS is a system for extracting information from natural language text for entry into a database and for other applications. It works essentially as a cascaded, nondeterministic finite-state automaton. There are five stages in the operation of FASTUS. In Stage 1, names and other fixed form expressions are recognized. In Stage 2, basic noun groups, verb groups, and prepositions and some other ...