| 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 |
