#22582As each new edge is added to the chart, thealgorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments.
tech,4-1-A92-1027,ak
presented . We present an efficient
<term>
algorithm
</term>
for
<term>
chart-based phrase structure
#22518We present an efficientalgorithm for chart-based phrase structure parsing of natural language that is tailored to the problem of extracting specific information from unrestricted texts where many of the words are unknown and much of the text is irrelevant to the task.
other,3-2-A92-1027,ak
task . The
<term>
parser
</term>
gains
<term>
algorithmic efficiency
</term>
through a reduction of its
<term>
search
#22561The parser gainsalgorithmic efficiency through a reduction of its search space.
other,28-6-A92-1027,ak
</term>
, thereby reducing the amount of
<term>
ambiguity
</term>
and thus the number of
<term>
edges
#22702A further reduction in the search space is achieved by using semantic rather than syntactic categories on the terminal and non-terminal edges, thereby reducing the amount ofambiguity and thus the number of edges, since only edges with a valid semantic interpretation are ever introduced.
other,8-3-A92-1027,ak
new
<term>
edge
</term>
is added to the
<term>
chart
</term>
, the
<term>
algorithm
</term>
checks
#22579As each new edge is added to thechart, the algorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments.
tech,6-1-A92-1027,ak
efficient
<term>
algorithm
</term>
for
<term>
chart-based phrase structure parsing
</term>
of
<term>
natural language
</term>
that
#22520We present an efficient algorithm forchart-based phrase structure parsing of natural language that is tailored to the problem of extracting specific information from unrestricted texts where many of the words are unknown and much of the text is irrelevant to the task.
other,25-4-A92-1027,ak
are introduced so that every final
<term>
constituent
</term>
covers the longest possible span
#22629The resulting spanning edges are insured to be the correct ones by carefully controlling the order in which edges are introduced so that every finalconstituent covers the longest possible span.
other,3-3-A92-1027,ak
<term>
search space
</term>
. As each new
<term>
edge
</term>
is added to the
<term>
chart
</term>
#22574As each newedge is added to the chart, the algorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments.
other,34-6-A92-1027,ak
ambiguity
</term>
and thus the number of
<term>
edges
</term>
, since only
<term>
edges
</term>
with
#22708A further reduction in the search space is achieved by using semantic rather than syntactic categories on the terminal and non-terminal edges, thereby reducing the amount of ambiguity and thus the number ofedges, since only edges with a valid semantic interpretation are ever introduced.
other,18-3-A92-1027,ak
</term>
checks only the topmost of the
<term>
edges
</term>
adjacent to it , rather than all
#22589As each new edge is added to the chart, the algorithm checks only the topmost of theedges adjacent to it, rather than all such edges as in conventional treatments.
other,18-4-A92-1027,ak
carefully controlling the order in which
<term>
edges
</term>
are introduced so that every final
#22622The resulting spanning edges are insured to be the correct ones by carefully controlling the order in whichedges are introduced so that every final constituent covers the longest possible span.
other,27-3-A92-1027,ak
adjacent to it , rather than all such
<term>
edges
</term>
as in conventional treatments . The
#22598As each new edge is added to the chart, the algorithm checks only the topmost of the edges adjacent to it, rather than all suchedges as in conventional treatments.
other,38-6-A92-1027,ak
number of
<term>
edges
</term>
, since only
<term>
edges
</term>
with a valid
<term>
semantic interpretation
#22712A further reduction in the search space is achieved by using semantic rather than syntactic categories on the terminal and non-terminal edges, thereby reducing the amount of ambiguity and thus the number of edges, since onlyedges with a valid semantic interpretation are ever introduced.
other,15-5-A92-1027,ak
heuristics
</term>
based on the placement of
<term>
function words
</term>
, and by
<term>
heuristic rules
</term>
#22651This is facilitated through the use of phrase boundary heuristics based on the placement offunction words, and by heuristic rules that permit certain kinds of phrases to be deduced despite the presence of unknown words.
model,20-5-A92-1027,ak
<term>
function words
</term>
, and by
<term>
heuristic rules
</term>
that permit certain kinds of
<term>
#22656This is facilitated through the use of phrase boundary heuristics based on the placement of function words, and byheuristic rules that permit certain kinds of phrases to be deduced despite the presence of unknown words.
other,22-1-A92-1027,ak
the problem of extracting specific
<term>
information
</term>
from
<term>
unrestricted texts
</term>
#22536We present an efficient algorithm for chart-based phrase structure parsing of natural language that is tailored to the problem of extracting specificinformation from unrestricted texts where many of the words are unknown and much of the text is irrelevant to the task.
other,11-1-A92-1027,ak
phrase structure parsing
</term>
of
<term>
natural language
</term>
that is tailored to the problem of
#22525We present an efficient algorithm for chart-based phrase structure parsing ofnatural language that is tailored to the problem of extracting specific information from unrestricted texts where many of the words are unknown and much of the text is irrelevant to the task.
tech,1-2-A92-1027,ak
</term>
is irrelevant to the task . The
<term>
parser
</term>
gains
<term>
algorithmic efficiency
#22559Theparser gains algorithmic efficiency through a reduction of its search space.
model,7-5-A92-1027,ak
is facilitated through the use of
<term>
phrase boundary heuristics
</term>
based on the placement of
<term>
function
#22643This is facilitated through the use ofphrase boundary heuristics based on the placement of function words, and by heuristic rules that permit certain kinds of phrases to be deduced despite the presence of unknown words.
other,27-5-A92-1027,ak
</term>
that permit certain kinds of
<term>
phrases
</term>
to be deduced despite the presence
#22663This is facilitated through the use of phrase boundary heuristics based on the placement of function words, and by heuristic rules that permit certain kinds ofphrases to be deduced despite the presence of unknown words.