We describe the CoNLL-2000 shared task: dividing text into syntactically related non-
overlapping groups of words, so-called text chunking. We give background information on …

This article describes a number of log-linear parsing models for an automatically extracted
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …

We present a named entity recognition (NER) system for extracting product attributes and
values from listing titles. Information extraction from short listing titles present a unique …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

This thesis explores a number of parameter estimation techniques for conditional random
fields, a recently introduced [31] probabilistic model for labelling and segmenting sequential …

By network security threat intelligence analysis based on a security knowledge graph (SKG),
multi-source threat intelligence data can be analyzed in a fine-grained manner. This has …

We present a unified technique to solve different shallow parsing tasks as a tagging problem
using a Hidden Markov Model-based approach (HMM). This technique consists of the …

Camptotheca acuminata is considered a natural medicinal plant with antitumor activity. The
assessment of climate change impact on its suitable habitats is important for cultivation and …

This paper investigates two elements of Maximum Entropy tagging: the use of a correction
feature in the Generalised Iterative Scaling (Gis) estimation algorithm, and techniques for …

With cybersecurity situation more and more complex, data-driven security has become
indispensable. Numerous cybersecurity data exists in textual sources and data analysis is …