a |
Allen's interval algebra | Formal Representation of Temporal Expressions |
c |
coherent texts | Using Convolutional Neural Networks for Sentiment Attitude Extraction from Analytical Texts |
Construction Grammar | Defining discourse formulae: computational approach |
Convolutional Neural Networks | Using Convolutional Neural Networks for Sentiment Attitude Extraction from Analytical Texts |
corpus-based study | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
d |
discourse formulae | Defining discourse formulae: computational approach |
document retrieval | Three-stage question answering system with sentence ranking |
e |
Early Irish | Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
entity extraction | Defining discourse formulae: computational approach |
extraction of term definition | Terminological Information Extraction from Russian Scientific Texts: Methods and Applications |
f |
feature extraction | Irony and sarcasm expression in Twitter |
g |
Genre Classification | Genre Classification Problem: in Pursuit of Systematics on a Big Webcorpus |
glossary creation | Terminological Information Extraction from Russian Scientific Texts: Methods and Applications |
h |
hybrid machine learning models | An Experimental Study of Hybrid Machine Learning Models for Extracting Named Entities |
i |
Information Extraction | Evaluating measures of semantic relatedness for Russian language |
interval temporal logic | Formal Representation of Temporal Expressions |
j |
Japanese dictionary | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
Japanese language | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
l |
lemmatisation | Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
lexico-syntactic patterns | Terminological Information Extraction from Russian Scientific Texts: Methods and Applications |
m |
machine learning | Defining discourse formulae: computational approach Genre Classification Problem: in Pursuit of Systematics on a Big Webcorpus Verb Construction As A Feature Of Genre Classification |
machine-learning-based NER | An Experimental Study of Hybrid Machine Learning Models for Extracting Named Entities |
morphological parsing | Automatic morphological analysis on the material of Russian social media texts |
morphological tagging | Automatic morphological analysis on the material of Russian social media texts |
n |
Named Entity Recognition | An Experimental Study of Hybrid Machine Learning Models for Extracting Named Entities |
Natural Language Processing | Automatic morphological analysis on the material of Russian social media texts Evaluating measures of semantic relatedness for Russian language Irony and sarcasm expression in Twitter Defining discourse formulae: computational approach Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
natural language semantics | Formal Representation of Temporal Expressions |
neural networks | Automatic morphological analysis on the material of Russian social media texts An Experimental Study of Hybrid Machine Learning Models for Extracting Named Entities Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
ngrams corpus | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
p |
POS tagging | Automatic morphological analysis on the material of Russian social media texts |
q |
Question Answering | Three-stage question answering system with sentence ranking |
r |
ranking system | Three-stage question answering system with sentence ranking |
Recurrent Neural Network | Three-stage question answering system with sentence ranking |
Rule-based term extraction | Terminological Information Extraction from Russian Scientific Texts: Methods and Applications |
s |
semantic relatedness | Evaluating measures of semantic relatedness for Russian language |
Sentiment Analysis | Using Convolutional Neural Networks for Sentiment Attitude Extraction from Analytical Texts |
sequence-to-sequence learning | Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
social media texts | Automatic morphological analysis on the material of Russian social media texts |
statistical analysis | Irony and sarcasm expression in Twitter |
subject index construction | Terminological Information Extraction from Russian Scientific Texts: Methods and Applications |
t |
taggers for Russian | Automatic morphological analysis on the material of Russian social media texts |
temporal expressions | Formal Representation of Temporal Expressions |
text classification | Genre Classification Problem: in Pursuit of Systematics on a Big Webcorpus |
u |
under-resourced languages | Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish |
Universal Dependencies | Automatic morphological analysis on the material of Russian social media texts Verb Construction As A Feature Of Genre Classification |
v |
verb conjugation | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
verb construction | Verb Construction As A Feature Of Genre Classification |
verb paradigm study | A Corpus-based Study of Japanese Verb Paradigms (Preliminary results) |
w |
web corpus | Genre Classification Problem: in Pursuit of Systematics on a Big Webcorpus |
Wikipedia Mining | Evaluating measures of semantic relatedness for Russian language |