Báo cáo khoa học: "Non-Literal Word Sense Identification Through Semantic Network Path Schemata" pot
Báo cáo khoa học: "Non-Literal Word Sense Identification Through Semantic Network Path Schemata" pot
... Non-Literal Word Sense Identification Through Semantic Network
Path Schemata
Eric lverson, Stephen Helmreich
Computing Research Lab ... Here the program follows paths
from existing word senses stored in a semantic net-
work to other closely associated word senses. By
examining the shape of the resultant path, we can
determine ... properties of a sense. Source con-...
Tài liệu Báo cáo khoa học: "Direct Word Sense Matching for Lexical Substitution" ppt
... all WordNet synonyms of the target word, under
all its possible senses, and picking randomly one
of the synonyms as the source word. For example,
the word ‘disc’ is one of the words in the Sense-
val ... each possible word sense. The algo-
rithm looks for words in the sense definitions that
overlap with context words in the given sentence,
and chooses the sense that yields maximal...
Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc
... model
learning
Sense tagged
text
semantic models
SenseLearner
definitions
Word sense
disambiguation
Trained semantic
models
Sense tagged
texts
Figure 1: Semantic model learning in SENSE-
LEARNER
tagged ... describes SENSELEARNER – a
minimally supervised word sense disam-
biguation system that attempts to disam-
biguate all content words in a text using
WordNet senses. We eva...
Tài liệu Báo cáo khoa học: "Bayesian Word Sense Induction" pdf
... Introduction
Sense induction is the task of discovering automat-
ically all possible senses of an ambiguous word. It
is related to, but distinct from, word sense disam-
biguation (WSD) where the senses ... the generated word. Then, the word sense
is selected based on the word, neighbor, and topic.
Boyd-Graber et al. (2007) extend the topic mod-
eling framework to include WordNet...
Báo cáo khoa học: "Determining Word Sense Dominance Using a Thesaurus" potx
... two
words on either side of the target word, but rather windows
of
5 words in our experiments.
3
SENSEVAL-1 head words have a wide range of possible
senses, and availability of alternative sense- tagged ... par-
ticular sense of a word (target word) in a given
text (target text) may be defined as the ratio of the
occurrences of the sense to the total occurrences of
the target word. T...
Báo cáo khoa học: "Robust Word Sense Translation by EM Learning of Frame Semantics" docx
... A source semantic frame is mapped to a tar-
get semantic frame if many word senses in
the two frames translate to each other;
2. A source word sense translates into a target
word sense if ... Example word sense translation out-
put
The word sense translation accuracies of the
above words are shown in Table 2. The results
are highly positive given that those from p...
Tài liệu Báo cáo khoa học: Purification and sequence identification of anserinase ppt
... crushed in 5 mL 10 mm N-ethylmorpholine ⁄ HCl
buffer, pH 7.2, containing 0.1 mm CoSO
4
using a Potter-
Elvehjem homogenizer. After centrifugation at 20 000 g for
30 min, the supernatant was concentrated, ... database
(http://merops.sanger.ac.uk) [19] using ‘unnamed protein’
sequence (DDBJ ⁄ EMBL ⁄ GenBank accession number
CAF95589) of spotted river puffer Tetraodon nigroviridis,
which was ext...
Tài liệu Báo cáo khoa học: "Improving Word Representations via Global Context and Multiple Word Prototypes" pdf
... represen-
tation per word. This is problematic because
words are often polysemous and global con-
text can also provide useful information for
learning word meanings. We present a new
neural network architecture ... multi-prototype VSM where
word sense discrimination is first applied by clus-
tering contexts, and then prototypes are built using
the contexts of the sense- labeled word...
Tài liệu Báo cáo khoa học: "Unsupervized Word Segmentation: the case for Mandarin Chinese" doc
... Harris's hypothesis and consider com-
plex morphological word structures, we expect a
large VBE at the boundaries of interesting units and
more unstable variations inside “words.” This expec-
tation ... density
distributions for words vs. non-words, we observed
that the VBE at both boundaries were the most dis-
criminative value. Therefore, we decided to take in
account the VBE only at...
Tài liệu Báo cáo khoa học: "Enhanced word decomposition by calibrating the decision threshold of probabilistic models and using a model ensemble" pdf
... Introduction
Words are often considered as the smallest unit
of a language when examining the grammatical
structure or the meaning of sentences, referred to
as syntax and semantics, however, words them-
selves ... relative word positions and
found out that the calibrated PROMODES-H pre-
dicted non-boundaries better for initial word posi-
tions whereas the calibrated PROMODES for mid-
and...