Info & Library Science: stances in move 1

Stances in 'Introduction': Info & Library Science - Introduction 1 - Move 1

(1) Select an 'Introduction' (2) Select a move in that 'Introduction' (What is this?)

Learning Objectives & Strategies:
Explore stances used (A) to make move (B) to support move-making in Move 1
1. Understand what the 3 moves are? ('Introduction' & 3 Moves).
2. Look at the sentences that make move and the stances used.
3. Look at the supporting sentences and the stances used.
4. Compare why supporting sentences are differnt from move-making sentences.
5. Check out the ratios of stances used (A) to make move only & (B) overall in Move 1.

Title: Multiple Heuristics and Their Combination for Automatic WordNet Mapping
Author(s): CHANGKI LEE, GARY GEUNBAE LEE and JUNGYUN SEO
Journal: Computers and the Humanities?38?(2004).

Clause

Making Move?
(Y/N)

Stances

Move 1, "Establish a Territory," Introduction 1 (*green = Stance Keywords)

(Y) generalization of the importance of using wide coverage thesauri

High Argumentative

There is no doubt on the increasing importance of using wide coverage thesauri for NLP tasks, especially for word sense disambiguation, machine translation, and information retrieval.

(N) support C1

High Argumentative: to contrast

While these thesauri (e.g. Roget’s thesaurus, WordNet (Miller, 1990), etc.) exist in English,

2.1

(Y) indicate a problem specifically

HighArgumentative

there are very few available wide-range thesauri for other languages.

(N) elaborate on C2.1

High Argumentative: to proclaim

Of course, manual construction of a thesaurus by experts is the most reliable technique,

3.1

(N) elaborate on C2.1

High Argumentative: to proclaim

yet it is also the most costly and time-consuming.

(N) support C3

Med Argumentative: to show more number of

For this reason, many researchers focus on the massive acquisition of lexical knowledge and semantic information from pre-existing lexical resources, preferring an automatic approach.